| Characteristic | Private N = 17,6381 |
Public N = 146,5771 |
|---|---|---|
| NMC category | ||
| 1 | 10,442 (34%) | 20,322 (66%) |
| 2 | 7,077 (5.4%) | 124,890 (95%) |
| 3 | 119 (8.0%) | 1,365 (92%) |
| Total | 17,638 (11%) | 146,577 (89%) |
| 1 n (%) | ||
| Private1 | Public1 | |
|---|---|---|
| Category 1 | ||
| Case Source | ||
| Android | 914 (8.8%) | 7,021 (35%) |
| Ios | 114 (1.1%) | 1,617 (8.0%) |
| Microstrategy/Sdw | 109 (1.0%) | 4,567 (22%) |
| Paper-Based | 119 (1.1%) | 377 (1.9%) |
| Web | 9,186 (88%) | 6,740 (33%) |
| Total | 10,442 (100%) | 20,322 (100%) |
| Category 2 | ||
| Case Source | ||
| Android | 394 (5.6%) | 32,009 (26%) |
| Ios | 78 (1.1%) | 6,605 (5.3%) |
| Microstrategy/Sdw | 6 (<0.1%) | 29,796 (24%) |
| Paper-Based | 265 (3.7%) | 2,596 (2.1%) |
| Shmc Excel | 1 (<0.1%) | 0 (0%) |
| Web | 6,333 (89%) | 53,884 (43%) |
| Total | 7,077 (100%) | 124,890 (100%) |
| 1 n (%) | ||
Plan: to show the time from symptom onset to diagnosis to notification for clinical and laboratory cases.
Plan: to show the proportion of cases with missing data and also the completeness of the hostpial form over time.
Plan: to show a dot map of the facilities that have reported cases compared to MFL and, to show the number of facilities that only hae lab notifications.
Describe the notifications process
We use the NMCleaner package to clean data. Amendments to the NMClener package can be done by email.
We currently use EARS and Cusum methods. More details can be found here. We encourage people to help imporve isgnal detection by pubcication.
You can use this dashboard to visualise cases.
Notification counts map
Notification Incidence map
Incidence Table
District | Incidence | Case Counts | Population |
|---|---|---|---|
Capricorn | 6.1 | 81 | 1,321,467.2 |
Vhembe | 0.7 | 10 | 1,463,262.4 |
City of Tshwane Metro | 0.5 | 21 | 4,083,402.6 |
Dr Kenneth Kaunda | 0.4 | 3 | 847,659.8 |
Mopani | 0.4 | 5 | 1,222,848.0 |
City of Johannesburg Metro | 0.2 | 14 | 6,358,197.7 |
Ehlanzeni | 0.3 | 5 | 1,837,480.6 |
Overall1 | 20161 | 20171 | 20181 | 20191 | 20201 | 20211 | 20221 | 20231 | 20241 | |
|---|---|---|---|---|---|---|---|---|---|---|
Age | ||||||||||
Median (Q1, Q3) | 26 (5, 46) | NA (NA, NA) | 44 (26, 61) | 46 (20, 55) | 17 (14, 65) | 43 (16, 64) | 18 (4, 37) | 0 (0, 56) | 29 (8, 47) | 0 (0, 29) |
Missing | 71 | 6 | 6 | 8 | 4 | 1 | 0 | 1 | 43 | 2 |
Sex | ||||||||||
Female | 808 (51%) | 0 (0%) | 0 (0%) | 14 (44%) | 2 (18%) | 4 (80%) | 0 (0%) | 2 (50%) | 699 (52%) | 87 (54%) |
Male | 733 (47%) | 6 (100%) | 8 (100%) | 18 (56%) | 8 (73%) | 1 (20%) | 4 (100%) | 2 (50%) | 612 (46%) | 74 (46%) |
Self-Defined | 27 (1.7%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 27 (2.0%) | 0 (0%) |
Unknown | 1 (<0.1%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (9.1%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
Province | ||||||||||
GP | 924 (59%) | 4 (67%) | 4 (50%) | 15 (47%) | 4 (36%) | 0 (0%) | 1 (25%) | 2 (50%) | 856 (64%) | 38 (24%) |
FS | 235 (15%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 233 (17%) | 2 (1.2%) |
LP | 178 (11%) | 2 (33%) | 3 (38%) | 10 (31%) | 1 (9.1%) | 0 (0%) | 0 (0%) | 1 (25%) | 60 (4.5%) | 101 (63%) |
MP | 108 (6.9%) | 0 (0%) | 1 (13%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 99 (7.4%) | 8 (5.0%) |
NW | 58 (3.7%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (9.1%) | 0 (0%) | 0 (0%) | 0 (0%) | 53 (4.0%) | 4 (2.5%) |
EC | 32 (2.0%) | 0 (0%) | 0 (0%) | 1 (3.1%) | 0 (0%) | 1 (20%) | 0 (0%) | 0 (0%) | 30 (2.2%) | 0 (0%) |
KZN | 24 (1.5%) | 0 (0%) | 0 (0%) | 3 (9.4%) | 1 (9.1%) | 4 (80%) | 3 (75%) | 1 (25%) | 6 (0.4%) | 6 (3.7%) |
WC | 9 (0.6%) | 0 (0%) | 0 (0%) | 3 (9.4%) | 4 (36%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 2 (1.2%) |
NC | 1 (<0.1%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (<0.1%) | 0 (0%) |
Admission Status | ||||||||||
Outpatient | 377 (42%) | 0 (NA%) | 0 (0%) | 2 (15%) | 1 (25%) | 0 (0%) | 2 (67%) | 2 (67%) | 316 (43%) | 54 (41%) |
Inpatient | 341 (38%) | 0 (NA%) | 1 (100%) | 11 (85%) | 3 (75%) | 1 (50%) | 1 (33%) | 1 (33%) | 257 (35%) | 66 (50%) |
Discharged | 153 (17%) | 0 (NA%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (50%) | 0 (0%) | 0 (0%) | 146 (20%) | 6 (4.5%) |
Transferred | 29 (3.2%) | 0 (NA%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 22 (3.0%) | 7 (5.3%) |
Missing | 669 | 6 | 7 | 19 | 7 | 3 | 1 | 1 | 597 | 28 |
Vital Status | ||||||||||
Alive | 905 (58%) | 0 (0%) | 1 (13%) | 13 (41%) | 4 (36%) | 2 (40%) | 3 (75%) | 3 (75%) | 732 (55%) | 147 (91%) |
Unknown | 604 (38%) | 6 (100%) | 7 (88%) | 19 (59%) | 7 (64%) | 3 (60%) | 1 (25%) | 1 (25%) | 551 (41%) | 9 (5.6%) |
Deceased | 60 (3.8%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 55 (4.1%) | 5 (3.1%) |
Facility Sector | ||||||||||
Public | 1,485 (95%) | 6 (100%) | 7 (88%) | 26 (81%) | 6 (55%) | 3 (60%) | 1 (25%) | 2 (50%) | 1,294 (97%) | 140 (87%) |
Private | 84 (5.4%) | 0 (0%) | 1 (13%) | 6 (19%) | 5 (45%) | 2 (40%) | 3 (75%) | 2 (50%) | 44 (3.3%) | 21 (13%) |
Facility Type | ||||||||||
Other facilities | 1,569 (100%) | 6 (100%) | 8 (100%) | 32 (100%) | 11 (100%) | 5 (100%) | 4 (100%) | 4 (100%) | 1,338 (100%) | 161 (100%) |
Total | 1,569 (100%) | 6 (100%) | 8 (100%) | 32 (100%) | 11 (100%) | 5 (100%) | 4 (100%) | 4 (100%) | 1,338 (100%) | 161 (100%) |
1n (%) | ||||||||||
Notification counts map
Notification Incidence map
Incidence Table
Error encountered in condition: Covid-19 col_numeric(): ! Wasn’t able to determine range of domain
Backtrace: ▆ 1. ├─base::tryCatch(…) 2. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers) 3. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]]) 4. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler) 5. ├─base::cat(…) 6. ├─knitr::knit_print(…) 7. │ └─knitr:::need_screenshot(x, …) 8. └─global tabulate_case_incidence(data = new_master, condition_select = condition) 9. └─scales::col_numeric(…) ### Congenital rubella syndrome #### Congenital rubella syndrome {.tabset} ##### Epicurve
Notification counts map
Notification Incidence map
Incidence Table
District | Incidence | Case Counts | Population |
|---|---|---|---|
Central Karoo | 3.9 | 3 | 76,540.93 |
Mangaung Metro | 2.1 | 18 | 846,685.09 |
uMgungundlovu | 2.0 | 23 | 1,155,758.42 |
Pixley Ka Seme | 1.4 | 3 | 211,614.18 |
Amajuba | 1.0 | 6 | 576,834.77 |
City of Cape Town Metro | 0.7 | 32 | 4,919,018.92 |
City of Johannesburg Metro | 0.3 | 21 | 6,358,197.68 |
City of Tshwane Metro | 0.4 | 17 | 4,083,402.58 |
Overall1 | 20161 | 20171 | 20181 | 20191 | 20201 | 20211 | 20221 | 20231 | 20241 | 20251 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
Age | |||||||||||
Median (Q1, Q3) | 3.00 (2.00, 5.00) | 6.00 (6.00, 8.00) | 6.00 (5.00, 7.00) | 4.00 (4.00, 5.00) | 3.00 (3.00, 4.00) | 2.00 (2.00, 3.00) | 1.00 (0.00, 2.00) | 0.00 (0.00, 2.00) | 2.00 (0.00, 3.00) | 2.00 (1.00, 3.00) | 0.00 (0.00, 1.00) |
Missing | 389 | 5 | 20 | 15 | 10 | 19 | 44 | 78 | 68 | 127 | 3 |
Sex | |||||||||||
Male | 550 (52%) | 22 (58%) | 60 (45%) | 72 (53%) | 66 (56%) | 35 (47%) | 27 (49%) | 56 (53%) | 87 (58%) | 121 (51%) | 4 (36%) |
Female | 511 (48%) | 16 (42%) | 72 (55%) | 65 (47%) | 52 (44%) | 40 (53%) | 28 (51%) | 49 (47%) | 64 (42%) | 118 (49%) | 7 (64%) |
Province | |||||||||||
KZN | 327 (31%) | 7 (18%) | 32 (24%) | 48 (35%) | 54 (46%) | 28 (38%) | 17 (31%) | 34 (33%) | 44 (30%) | 60 (25%) | 3 (27%) |
GP | 208 (20%) | 11 (29%) | 37 (28%) | 39 (28%) | 24 (20%) | 22 (30%) | 7 (13%) | 8 (7.8%) | 15 (10%) | 44 (18%) | 1 (9.1%) |
WC | 153 (15%) | 2 (5.3%) | 12 (9.1%) | 19 (14%) | 12 (10%) | 0 (0%) | 2 (3.6%) | 11 (11%) | 47 (32%) | 46 (19%) | 2 (18%) |
EC | 105 (10.0%) | 4 (11%) | 6 (4.5%) | 8 (5.8%) | 9 (7.6%) | 9 (12%) | 7 (13%) | 20 (19%) | 11 (7.5%) | 29 (12%) | 2 (18%) |
FS | 80 (7.6%) | 1 (2.6%) | 9 (6.8%) | 5 (3.6%) | 7 (5.9%) | 7 (9.6%) | 5 (9.1%) | 8 (7.8%) | 9 (6.1%) | 28 (12%) | 1 (9.1%) |
MP | 63 (6.0%) | 6 (16%) | 10 (7.6%) | 5 (3.6%) | 5 (4.2%) | 3 (4.1%) | 7 (13%) | 10 (9.7%) | 3 (2.0%) | 14 (5.9%) | 0 (0%) |
LP | 57 (5.4%) | 4 (11%) | 16 (12%) | 8 (5.8%) | 4 (3.4%) | 3 (4.1%) | 7 (13%) | 7 (6.8%) | 3 (2.0%) | 4 (1.7%) | 1 (9.1%) |
NC | 31 (2.9%) | 2 (5.3%) | 5 (3.8%) | 2 (1.5%) | 1 (0.8%) | 1 (1.4%) | 0 (0%) | 1 (1.0%) | 12 (8.2%) | 7 (2.9%) | 0 (0%) |
NW | 29 (2.8%) | 1 (2.6%) | 5 (3.8%) | 3 (2.2%) | 2 (1.7%) | 0 (0%) | 3 (5.5%) | 4 (3.9%) | 3 (2.0%) | 7 (2.9%) | 1 (9.1%) |
Missing | 8 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 4 | 0 | 0 |
Admission Status | |||||||||||
Inpatient | 97 (63%) | 0 (NA%) | 5 (56%) | 13 (68%) | 13 (87%) | 5 (83%) | 7 (78%) | 10 (56%) | 20 (57%) | 21 (53%) | 3 (75%) |
Discharged | 30 (19%) | 0 (NA%) | 4 (44%) | 3 (16%) | 2 (13%) | 1 (17%) | 1 (11%) | 5 (28%) | 9 (26%) | 5 (13%) | 0 (0%) |
Outpatient | 26 (17%) | 0 (NA%) | 0 (0%) | 3 (16%) | 0 (0%) | 0 (0%) | 1 (11%) | 3 (17%) | 5 (14%) | 13 (33%) | 1 (25%) |
Transferred | 2 (1.3%) | 0 (NA%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (2.9%) | 1 (2.5%) | 0 (0%) |
Missing | 906 | 38 | 123 | 118 | 103 | 69 | 46 | 87 | 116 | 199 | 7 |
Vital Status | |||||||||||
Unknown | 907 (85%) | 38 (100%) | 123 (93%) | 119 (87%) | 103 (87%) | 69 (92%) | 46 (84%) | 87 (83%) | 116 (77%) | 199 (83%) | 7 (64%) |
Alive | 142 (13%) | 0 (0%) | 8 (6.1%) | 17 (12%) | 15 (13%) | 5 (6.7%) | 9 (16%) | 18 (17%) | 30 (20%) | 37 (15%) | 3 (27%) |
Deceased | 12 (1.1%) | 0 (0%) | 1 (0.8%) | 1 (0.7%) | 0 (0%) | 1 (1.3%) | 0 (0%) | 0 (0%) | 5 (3.3%) | 3 (1.3%) | 1 (9.1%) |
Facility Sector | |||||||||||
Public | 1,025 (97%) | 38 (100%) | 126 (95%) | 128 (93%) | 109 (92%) | 73 (97%) | 55 (100%) | 102 (97%) | 145 (96%) | 238 (100%) | 11 (100%) |
Private | 36 (3.4%) | 0 (0%) | 6 (4.5%) | 9 (6.6%) | 9 (7.6%) | 2 (2.7%) | 0 (0%) | 3 (2.9%) | 6 (4.0%) | 1 (0.4%) | 0 (0%) |
Facility Type | |||||||||||
Other facilities | 1,061 (100%) | 38 (100%) | 132 (100%) | 137 (100%) | 118 (100%) | 75 (100%) | 55 (100%) | 105 (100%) | 151 (100%) | 239 (100%) | 11 (100%) |
Total | 1,061 (100%) | 38 (100%) | 132 (100%) | 137 (100%) | 118 (100%) | 75 (100%) | 55 (100%) | 105 (100%) | 151 (100%) | 239 (100%) | 11 (100%) |
1n (%) | |||||||||||
Notification counts map
Notification Incidence map
Incidence Table
District | Incidence | Case Counts | Population |
|---|---|---|---|
City of Cape Town Metro | 1.4 | 67 | 4,919,018.9 |
Mangaung Metro | 0.4 | 3 | 846,685.1 |
West Coast | 0.4 | 2 | 488,534.8 |
Cape Winelands | 0.3 | 3 | 1,001,121.3 |
Garden Route | 0.3 | 2 | 641,378.7 |
eThekwini Metro | 0.2 | 8 | 4,122,884.5 |
City of Johannesburg Metro | 0.1 | 6 | 6,358,197.7 |
City of Tshwane Metro | 0.1 | 4 | 4,083,402.6 |
Overall1 | 20161 | 20171 | 20181 | 20191 | 20201 | 20211 | 20221 | 20231 | 20241 | 20251 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
Age | |||||||||||
Median (Q1, Q3) | 31 (14, 43) | 34 (14, 47) | 40 (17, 53) | 38 (19, 48) | 41 (8, 67) | 13 (5, 31) | 24 (14, 25) | 9 (0, 34) | 30 (20, 40) | 28 (11, 36) | 27 (11, 41) |
Missing | 19 | 3 | 6 | 4 | 0 | 0 | 1 | 1 | 1 | 2 | 1 |
Sex | |||||||||||
Male | 234 (54%) | 14 (45%) | 53 (46%) | 34 (49%) | 3 (43%) | 9 (75%) | 21 (68%) | 11 (73%) | 31 (57%) | 44 (60%) | 14 (50%) |
Female | 202 (46%) | 17 (55%) | 63 (54%) | 35 (51%) | 4 (57%) | 3 (25%) | 10 (32%) | 4 (27%) | 23 (43%) | 29 (40%) | 14 (50%) |
Province | |||||||||||
WC | 293 (67%) | 26 (84%) | 84 (73%) | 41 (59%) | 1 (14%) | 1 (8.3%) | 26 (84%) | 5 (33%) | 35 (65%) | 52 (71%) | 22 (79%) |
GP | 55 (13%) | 4 (13%) | 19 (17%) | 11 (16%) | 2 (29%) | 1 (8.3%) | 3 (9.7%) | 0 (0%) | 5 (9.3%) | 5 (6.8%) | 5 (18%) |
KZN | 40 (9.2%) | 1 (3.2%) | 1 (0.9%) | 10 (14%) | 1 (14%) | 6 (50%) | 0 (0%) | 4 (27%) | 7 (13%) | 9 (12%) | 1 (3.6%) |
EC | 22 (5.1%) | 0 (0%) | 6 (5.2%) | 4 (5.8%) | 1 (14%) | 3 (25%) | 2 (6.5%) | 2 (13%) | 2 (3.7%) | 2 (2.7%) | 0 (0%) |
FS | 8 (1.8%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (14%) | 0 (0%) | 0 (0%) | 2 (13%) | 2 (3.7%) | 3 (4.1%) | 0 (0%) |
NC | 6 (1.4%) | 0 (0%) | 2 (1.7%) | 1 (1.4%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (6.7%) | 2 (3.7%) | 0 (0%) | 0 (0%) |
LP | 5 (1.1%) | 0 (0%) | 3 (2.6%) | 0 (0%) | 1 (14%) | 0 (0%) | 0 (0%) | 1 (6.7%) | 0 (0%) | 0 (0%) | 0 (0%) |
NW | 4 (0.9%) | 0 (0%) | 0 (0%) | 1 (1.4%) | 0 (0%) | 1 (8.3%) | 0 (0%) | 0 (0%) | 1 (1.9%) | 1 (1.4%) | 0 (0%) |
MP | 2 (0.5%) | 0 (0%) | 0 (0%) | 1 (1.4%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (1.4%) | 0 (0%) |
Missing | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Admission Status | |||||||||||
Inpatient | 98 (61%) | 0 (NA%) | 0 (NA%) | 5 (45%) | 5 (83%) | 4 (57%) | 4 (80%) | 5 (42%) | 28 (60%) | 34 (69%) | 13 (54%) |
Outpatient | 45 (28%) | 0 (NA%) | 0 (NA%) | 4 (36%) | 0 (0%) | 1 (14%) | 0 (0%) | 6 (50%) | 16 (34%) | 11 (22%) | 7 (29%) |
Discharged | 12 (7.5%) | 0 (NA%) | 0 (NA%) | 2 (18%) | 1 (17%) | 2 (29%) | 1 (20%) | 1 (8.3%) | 2 (4.3%) | 1 (2.0%) | 2 (8.3%) |
Transferred | 6 (3.7%) | 0 (NA%) | 0 (NA%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (2.1%) | 3 (6.1%) | 2 (8.3%) |
Missing | 275 | 31 | 116 | 58 | 1 | 5 | 26 | 3 | 7 | 24 | 4 |
Vital Status | |||||||||||
Unknown | 272 (62%) | 31 (100%) | 116 (100%) | 57 (83%) | 1 (14%) | 5 (42%) | 26 (84%) | 3 (20%) | 5 (9.3%) | 24 (33%) | 4 (14%) |
Alive | 151 (35%) | 0 (0%) | 0 (0%) | 11 (16%) | 6 (86%) | 5 (42%) | 4 (13%) | 10 (67%) | 46 (85%) | 45 (62%) | 24 (86%) |
Deceased | 13 (3.0%) | 0 (0%) | 0 (0%) | 1 (1.4%) | 0 (0%) | 2 (17%) | 1 (3.2%) | 2 (13%) | 3 (5.6%) | 4 (5.5%) | 0 (0%) |
Facility Sector | |||||||||||
Public | 401 (92%) | 31 (100%) | 113 (98%) | 65 (94%) | 4 (57%) | 11 (92%) | 29 (94%) | 12 (80%) | 42 (78%) | 68 (93%) | 26 (93%) |
Private | 34 (7.8%) | 0 (0%) | 2 (1.7%) | 4 (5.8%) | 3 (43%) | 1 (8.3%) | 2 (6.5%) | 3 (20%) | 12 (22%) | 5 (6.8%) | 2 (7.1%) |
Missing | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Facility Type | |||||||||||
Other facilities | 436 (100%) | 31 (100%) | 116 (100%) | 69 (100%) | 7 (100%) | 12 (100%) | 31 (100%) | 15 (100%) | 54 (100%) | 73 (100%) | 28 (100%) |
Total | 436 (100%) | 31 (100%) | 116 (100%) | 69 (100%) | 7 (100%) | 12 (100%) | 31 (100%) | 15 (100%) | 54 (100%) | 73 (100%) | 28 (100%) |
1n (%) | |||||||||||
Notification counts map
Notification Incidence map
Incidence Table
District | Incidence | Case Counts | Population |
|---|---|---|---|
Garden Route | 0.5 | 3 | 641,378.7 |
City of Cape Town Metro | 0.4 | 19 | 4,919,018.9 |
City of Johannesburg Metro | 0.4 | 24 | 6,358,197.7 |
Buffalo City Metro | 0.3 | 2 | 790,600.8 |
King Cetshwayo | 0.3 | 3 | 965,659.3 |
eThekwini Metro | 0.2 | 8 | 4,122,884.5 |
City of Tshwane Metro | 0.1 | 3 | 4,083,402.6 |
Overall1 | 20161 | 20171 | 20181 | 20191 | 20201 | 20211 | 20221 | 20231 | 20241 | 20251 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
Age | |||||||||||
Median (Q1, Q3) | 24 (5, 48) | 39 (6, 62) | 6 (5, 40) | 7 (5, 43) | 40 (4, 62) | 34 (3, 53) | 46 (31, 68) | 40 (23, 57) | 32 (0, 55) | 40 (3, 62) | 42 (0, 47) |
Missing | 294 | 8 | 90 | 102 | 22 | 7 | 13 | 29 | 7 | 15 | 1 |
Sex | |||||||||||
Female | 887 (51%) | 19 (54%) | 276 (49%) | 338 (55%) | 33 (38%) | 58 (57%) | 23 (45%) | 64 (57%) | 31 (38%) | 38 (51%) | 7 (58%) |
Male | 840 (49%) | 16 (46%) | 282 (51%) | 278 (45%) | 55 (63%) | 43 (43%) | 28 (55%) | 48 (43%) | 49 (60%) | 36 (49%) | 5 (42%) |
Self-Defined | 1 (<0.1%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (1.2%) | 0 (0%) | 0 (0%) |
Unknown | 1 (<0.1%) | 0 (0%) | 0 (0%) | 1 (0.2%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
Province | |||||||||||
GP | 933 (54%) | 16 (46%) | 370 (67%) | 371 (61%) | 48 (55%) | 40 (40%) | 9 (18%) | 28 (25%) | 20 (25%) | 27 (36%) | 4 (33%) |
WC | 313 (18%) | 5 (14%) | 70 (13%) | 77 (13%) | 16 (18%) | 32 (32%) | 25 (49%) | 35 (31%) | 29 (36%) | 21 (28%) | 3 (25%) |
KZN | 197 (12%) | 4 (11%) | 26 (4.7%) | 67 (11%) | 13 (15%) | 18 (18%) | 11 (22%) | 23 (21%) | 21 (26%) | 11 (15%) | 3 (25%) |
EC | 95 (5.5%) | 6 (17%) | 24 (4.3%) | 27 (4.5%) | 3 (3.4%) | 5 (5.0%) | 1 (2.0%) | 17 (15%) | 5 (6.2%) | 5 (6.8%) | 2 (17%) |
MP | 62 (3.6%) | 1 (2.9%) | 28 (5.1%) | 27 (4.5%) | 0 (0%) | 0 (0%) | 3 (5.9%) | 1 (0.9%) | 0 (0%) | 2 (2.7%) | 0 (0%) |
LP | 39 (2.3%) | 3 (8.6%) | 13 (2.4%) | 15 (2.5%) | 0 (0%) | 1 (1.0%) | 1 (2.0%) | 0 (0%) | 3 (3.7%) | 3 (4.1%) | 0 (0%) |
FS | 37 (2.2%) | 0 (0%) | 9 (1.6%) | 8 (1.3%) | 6 (6.8%) | 4 (4.0%) | 1 (2.0%) | 5 (4.5%) | 2 (2.5%) | 2 (2.7%) | 0 (0%) |
NW | 32 (1.9%) | 0 (0%) | 12 (2.2%) | 13 (2.1%) | 2 (2.3%) | 0 (0%) | 0 (0%) | 1 (0.9%) | 1 (1.2%) | 3 (4.1%) | 0 (0%) |
NC | 5 (0.3%) | 0 (0%) | 1 (0.2%) | 1 (0.2%) | 0 (0%) | 1 (1.0%) | 0 (0%) | 2 (1.8%) | 0 (0%) | 0 (0%) | 0 (0%) |
Missing | 16 | 0 | 5 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Admission Status | |||||||||||
Inpatient | 405 (84%) | 0 (NA%) | 27 (79%) | 154 (84%) | 28 (93%) | 38 (76%) | 20 (80%) | 43 (84%) | 50 (94%) | 37 (76%) | 8 (100%) |
Discharged | 49 (10%) | 0 (NA%) | 5 (15%) | 17 (9.3%) | 2 (6.7%) | 7 (14%) | 4 (16%) | 5 (9.8%) | 1 (1.9%) | 8 (16%) | 0 (0%) |
Outpatient | 25 (5.2%) | 0 (NA%) | 2 (5.9%) | 12 (6.6%) | 0 (0%) | 4 (8.0%) | 1 (4.0%) | 3 (5.9%) | 0 (0%) | 3 (6.1%) | 0 (0%) |
Transferred | 4 (0.8%) | 0 (NA%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (2.0%) | 0 (0%) | 0 (0%) | 2 (3.8%) | 1 (2.0%) | 0 (0%) |
Missing | 1,246 | 35 | 524 | 434 | 58 | 51 | 26 | 61 | 28 | 25 | 4 |
Vital Status | |||||||||||
Unknown | 1,238 (72%) | 35 (100%) | 524 (94%) | 434 (70%) | 56 (64%) | 50 (50%) | 26 (51%) | 57 (51%) | 26 (32%) | 26 (35%) | 4 (33%) |
Alive | 420 (24%) | 0 (0%) | 32 (5.7%) | 166 (27%) | 25 (28%) | 46 (46%) | 21 (41%) | 44 (39%) | 42 (52%) | 36 (49%) | 8 (67%) |
Deceased | 71 (4.1%) | 0 (0%) | 2 (0.4%) | 17 (2.8%) | 7 (8.0%) | 5 (5.0%) | 4 (7.8%) | 11 (9.8%) | 13 (16%) | 12 (16%) | 0 (0%) |
Facility Sector | |||||||||||
Public | 1,366 (80%) | 35 (100%) | 514 (93%) | 416 (69%) | 78 (89%) | 85 (84%) | 34 (67%) | 82 (73%) | 61 (75%) | 52 (70%) | 9 (75%) |
Private | 347 (20%) | 0 (0%) | 39 (7.1%) | 190 (31%) | 10 (11%) | 16 (16%) | 17 (33%) | 30 (27%) | 20 (25%) | 22 (30%) | 3 (25%) |
Missing | 16 | 0 | 5 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Facility Type | |||||||||||
Other facilities | 1,729 (100%) | 35 (100%) | 558 (100%) | 617 (100%) | 88 (100%) | 101 (100%) | 51 (100%) | 112 (100%) | 81 (100%) | 74 (100%) | 12 (100%) |
Total | 1,729 (100%) | 35 (100%) | 558 (100%) | 617 (100%) | 88 (100%) | 101 (100%) | 51 (100%) | 112 (100%) | 81 (100%) | 74 (100%) | 12 (100%) |
1n (%) | |||||||||||
Notification counts map
Notification Incidence map
Incidence Table
District | Incidence | Case Counts | Population |
|---|---|---|---|
Namakwa | 321.5 | 375 | 116,648.6 |
Frances Baard | 133.9 | 569 | 425,010.9 |
ZF Mgcawu | 123.9 | 365 | 294,697.7 |
Garden Route | 118.0 | 757 | 641,378.7 |
Pixley Ka Seme | 103.5 | 219 | 211,614.2 |
City of Tshwane Metro | 37.1 | 1,513 | 4,083,402.6 |
City of Johannesburg Metro | 18.9 | 1,199 | 6,358,197.7 |
City of Cape Town Metro | 10.8 | 531 | 4,919,018.9 |
Overall1 | 20161 | 20171 | 20181 | 20191 | 20201 | 20211 | 20221 | 20231 | 20241 | 20251 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
Age | |||||||||||
Median (Q1, Q3) | 5.0 (0.0, 9.0) | 10.0 (7.0, 32.5) | 11.0 (9.0, 16.0) | 9.0 (7.0, 11.0) | 9.0 (6.0, 12.0) | 7.0 (5.0, 10.0) | 2.0 (0.0, 5.0) | 3.0 (0.0, 6.0) | 5.0 (1.0, 8.0) | 4.0 (0.0, 7.0) | 3.5 (0.0, 9.0) |
Missing | 477 | 0 | 46 | 14 | 13 | 11 | 4 | 57 | 188 | 134 | 10 |
Sex | |||||||||||
Male | 9,507 (51%) | 6 (50%) | 249 (52%) | 486 (52%) | 858 (53%) | 125 (55%) | 45 (62%) | 694 (54%) | 1,678 (54%) | 5,287 (49%) | 79 (56%) |
Female | 9,224 (49%) | 6 (50%) | 230 (48%) | 440 (48%) | 748 (47%) | 101 (45%) | 28 (38%) | 586 (46%) | 1,433 (46%) | 5,589 (51%) | 63 (44%) |
Self-Defined | 13 (<0.1%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 2 (<0.1%) | 11 (0.1%) | 0 (0%) |
Province | |||||||||||
GP | 5,221 (28%) | 4 (33%) | 183 (38%) | 234 (25%) | 348 (22%) | 55 (24%) | 26 (36%) | 218 (17%) | 647 (21%) | 3,437 (32%) | 69 (49%) |
KZN | 3,473 (19%) | 1 (8.3%) | 188 (39%) | 482 (52%) | 376 (23%) | 81 (36%) | 25 (34%) | 170 (13%) | 311 (10.0%) | 1,827 (17%) | 12 (8.5%) |
WC | 2,891 (15%) | 6 (50%) | 28 (5.9%) | 62 (6.7%) | 105 (6.5%) | 32 (14%) | 10 (14%) | 106 (8.3%) | 997 (32%) | 1,530 (14%) | 15 (11%) |
NC | 1,764 (9.4%) | 0 (0%) | 0 (0%) | 5 (0.5%) | 17 (1.1%) | 7 (3.1%) | 4 (5.5%) | 15 (1.2%) | 150 (4.8%) | 1,546 (14%) | 20 (14%) |
NW | 1,577 (8.4%) | 1 (8.3%) | 32 (6.7%) | 22 (2.4%) | 422 (26%) | 15 (6.6%) | 0 (0%) | 103 (8.1%) | 171 (5.5%) | 805 (7.4%) | 6 (4.2%) |
LP | 1,375 (7.3%) | 0 (0%) | 3 (0.6%) | 28 (3.0%) | 25 (1.6%) | 4 (1.8%) | 2 (2.7%) | 450 (35%) | 601 (19%) | 257 (2.4%) | 5 (3.5%) |
MP | 1,109 (5.9%) | 0 (0%) | 18 (3.8%) | 50 (5.4%) | 61 (3.8%) | 11 (4.9%) | 1 (1.4%) | 150 (12%) | 118 (3.8%) | 693 (6.4%) | 7 (4.9%) |
EC | 734 (3.9%) | 0 (0%) | 11 (2.3%) | 18 (1.9%) | 195 (12%) | 14 (6.2%) | 3 (4.1%) | 33 (2.6%) | 57 (1.8%) | 402 (3.7%) | 1 (0.7%) |
FS | 594 (3.2%) | 0 (0%) | 15 (3.1%) | 25 (2.7%) | 55 (3.4%) | 7 (3.1%) | 2 (2.7%) | 34 (2.7%) | 61 (2.0%) | 388 (3.6%) | 7 (4.9%) |
Missing | 6 | 0 | 1 | 0 | 2 | 0 | 0 | 1 | 0 | 2 | 0 |
Admission Status | |||||||||||
Outpatient | 13,452 (85%) | 0 (NA%) | 224 (75%) | 572 (68%) | 1,121 (75%) | 132 (67%) | 45 (71%) | 694 (77%) | 1,624 (76%) | 8,954 (92%) | 86 (74%) |
Inpatient | 1,529 (9.7%) | 0 (NA%) | 53 (18%) | 229 (27%) | 314 (21%) | 45 (23%) | 12 (19%) | 140 (16%) | 285 (13%) | 426 (4.4%) | 25 (21%) |
Discharged | 775 (4.9%) | 0 (NA%) | 23 (7.7%) | 45 (5.3%) | 59 (3.9%) | 18 (9.2%) | 6 (9.5%) | 57 (6.3%) | 209 (9.8%) | 352 (3.6%) | 6 (5.1%) |
Transferred | 52 (0.3%) | 0 (NA%) | 0 (0%) | 1 (0.1%) | 6 (0.4%) | 1 (0.5%) | 0 (0%) | 9 (1.0%) | 12 (0.6%) | 23 (0.2%) | 0 (0%) |
Missing | 2,936 | 12 | 179 | 79 | 106 | 30 | 10 | 380 | 983 | 1,132 | 25 |
Vital Status | |||||||||||
Alive | 16,055 (86%) | 0 (0%) | 300 (63%) | 846 (91%) | 1,542 (96%) | 197 (87%) | 66 (90%) | 957 (75%) | 2,235 (72%) | 9,794 (90%) | 118 (83%) |
Unknown | 2,676 (14%) | 12 (100%) | 179 (37%) | 79 (8.5%) | 58 (3.6%) | 29 (13%) | 7 (9.6%) | 323 (25%) | 874 (28%) | 1,092 (10%) | 23 (16%) |
Deceased | 13 (<0.1%) | 0 (0%) | 0 (0%) | 1 (0.1%) | 6 (0.4%) | 0 (0%) | 0 (0%) | 0 (0%) | 4 (0.1%) | 1 (<0.1%) | 1 (0.7%) |
Facility Sector | |||||||||||
Public | 17,212 (92%) | 11 (92%) | 343 (72%) | 816 (88%) | 1,483 (92%) | 204 (90%) | 64 (88%) | 1,176 (92%) | 2,706 (87%) | 10,285 (94%) | 124 (87%) |
Private | 1,529 (8.2%) | 1 (8.3%) | 135 (28%) | 110 (12%) | 121 (7.5%) | 22 (9.7%) | 9 (12%) | 104 (8.1%) | 407 (13%) | 602 (5.5%) | 18 (13%) |
Missing | 3 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
Facility Type | |||||||||||
Other facilities | 18,744 (100%) | 12 (100%) | 479 (100%) | 926 (100%) | 1,606 (100%) | 226 (100%) | 73 (100%) | 1,280 (100%) | 3,113 (100%) | 10,887 (100%) | 142 (100%) |
Total | 18,744 (100%) | 12 (100%) | 479 (100%) | 926 (100%) | 1,606 (100%) | 226 (100%) | 73 (100%) | 1,280 (100%) | 3,113 (100%) | 10,887 (100%) | 142 (100%) |
1n (%) | |||||||||||
Notification counts map
Notification Incidence map
Incidence Table
District | Incidence | Case Counts | Population |
|---|---|---|---|
Namakwa | 2.6 | 3 | 116,648.6 |
Nelson Mandela Bay Metro | 1.5 | 18 | 1,212,422.3 |
City of Cape Town Metro | 1.4 | 71 | 4,919,018.9 |
Overberg | 1.3 | 4 | 319,319.5 |
Cape Winelands | 1.1 | 11 | 1,001,121.3 |
City of Johannesburg Metro | 0.2 | 14 | 6,358,197.7 |
Ekurhuleni Metro | 0.3 | 12 | 4,296,567.6 |
Overall1 | 20161 | 20171 | 20181 | 20191 | 20201 | 20211 | 20221 | 20231 | 20241 | 20251 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
Age | |||||||||||
Median (Q1, Q3) | 15 (4, 36) | 28 (13, 46) | 18 (7, 34) | 14 (6, 37) | 19 (6, 39) | 12 (3, 37) | 16 (1, 40) | 7 (0, 31) | 19 (4, 37) | 10 (0, 31) | 7 (0, 18) |
Missing | 96 | 8 | 16 | 10 | 6 | 4 | 10 | 19 | 9 | 14 | 0 |
Sex | |||||||||||
Male | 682 (55%) | 21 (58%) | 72 (58%) | 96 (53%) | 142 (53%) | 28 (50%) | 28 (54%) | 93 (59%) | 86 (62%) | 111 (53%) | 5 (63%) |
Female | 547 (45%) | 15 (42%) | 53 (42%) | 84 (47%) | 124 (47%) | 28 (50%) | 24 (46%) | 65 (41%) | 53 (38%) | 98 (47%) | 3 (38%) |
Province | |||||||||||
WC | 419 (34%) | 8 (23%) | 32 (26%) | 49 (27%) | 68 (26%) | 20 (36%) | 24 (46%) | 68 (43%) | 55 (40%) | 90 (43%) | 5 (63%) |
GP | 260 (21%) | 11 (31%) | 29 (23%) | 44 (24%) | 62 (23%) | 10 (18%) | 6 (12%) | 29 (18%) | 32 (23%) | 36 (17%) | 1 (13%) |
EC | 189 (15%) | 8 (23%) | 22 (18%) | 32 (18%) | 52 (20%) | 10 (18%) | 7 (13%) | 13 (8.2%) | 15 (11%) | 29 (14%) | 1 (13%) |
KZN | 96 (7.8%) | 3 (8.6%) | 6 (4.8%) | 13 (7.2%) | 23 (8.6%) | 4 (7.1%) | 6 (12%) | 17 (11%) | 10 (7.2%) | 14 (6.7%) | 0 (0%) |
FS | 73 (5.9%) | 0 (0%) | 9 (7.2%) | 10 (5.6%) | 15 (5.6%) | 2 (3.6%) | 2 (3.8%) | 7 (4.4%) | 12 (8.6%) | 16 (7.7%) | 0 (0%) |
LP | 70 (5.7%) | 2 (5.7%) | 12 (9.6%) | 11 (6.1%) | 20 (7.5%) | 6 (11%) | 4 (7.7%) | 5 (3.2%) | 3 (2.2%) | 6 (2.9%) | 1 (13%) |
NW | 48 (3.9%) | 0 (0%) | 5 (4.0%) | 4 (2.2%) | 14 (5.3%) | 2 (3.6%) | 0 (0%) | 10 (6.3%) | 7 (5.0%) | 6 (2.9%) | 0 (0%) |
MP | 44 (3.6%) | 2 (5.7%) | 9 (7.2%) | 14 (7.8%) | 9 (3.4%) | 1 (1.8%) | 2 (3.8%) | 3 (1.9%) | 1 (0.7%) | 3 (1.4%) | 0 (0%) |
NC | 29 (2.4%) | 1 (2.9%) | 1 (0.8%) | 3 (1.7%) | 3 (1.1%) | 1 (1.8%) | 1 (1.9%) | 6 (3.8%) | 4 (2.9%) | 9 (4.3%) | 0 (0%) |
Missing | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Admission Status | |||||||||||
Inpatient | 731 (86%) | 0 (NA%) | 15 (79%) | 117 (91%) | 188 (92%) | 32 (84%) | 28 (85%) | 100 (88%) | 92 (78%) | 153 (83%) | 6 (86%) |
Discharged | 57 (6.7%) | 0 (NA%) | 2 (11%) | 3 (2.3%) | 7 (3.4%) | 1 (2.6%) | 1 (3.0%) | 7 (6.1%) | 15 (13%) | 20 (11%) | 1 (14%) |
Outpatient | 39 (4.6%) | 0 (NA%) | 2 (11%) | 8 (6.3%) | 7 (3.4%) | 4 (11%) | 3 (9.1%) | 5 (4.4%) | 6 (5.1%) | 4 (2.2%) | 0 (0%) |
Transferred | 19 (2.2%) | 0 (NA%) | 0 (0%) | 0 (0%) | 2 (1.0%) | 1 (2.6%) | 1 (3.0%) | 2 (1.8%) | 5 (4.2%) | 8 (4.3%) | 0 (0%) |
Missing | 383 | 36 | 106 | 52 | 62 | 18 | 19 | 44 | 21 | 24 | 1 |
Vital Status | |||||||||||
Alive | 750 (61%) | 0 (0%) | 16 (13%) | 118 (66%) | 181 (68%) | 36 (64%) | 30 (58%) | 103 (65%) | 101 (73%) | 158 (76%) | 7 (88%) |
Unknown | 378 (31%) | 36 (100%) | 106 (85%) | 52 (29%) | 62 (23%) | 18 (32%) | 15 (29%) | 40 (25%) | 23 (17%) | 25 (12%) | 1 (13%) |
Deceased | 101 (8.2%) | 0 (0%) | 3 (2.4%) | 10 (5.6%) | 23 (8.6%) | 2 (3.6%) | 7 (13%) | 15 (9.5%) | 15 (11%) | 26 (12%) | 0 (0%) |
Facility Sector | |||||||||||
Public | 969 (79%) | 35 (100%) | 118 (94%) | 141 (78%) | 220 (83%) | 49 (88%) | 46 (88%) | 131 (83%) | 88 (63%) | 135 (65%) | 6 (75%) |
Private | 259 (21%) | 0 (0%) | 7 (5.6%) | 39 (22%) | 46 (17%) | 7 (13%) | 6 (12%) | 27 (17%) | 51 (37%) | 74 (35%) | 2 (25%) |
Missing | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Facility Type | |||||||||||
Other facilities | 1,229 (100%) | 36 (100%) | 125 (100%) | 180 (100%) | 266 (100%) | 56 (100%) | 52 (100%) | 158 (100%) | 139 (100%) | 209 (100%) | 8 (100%) |
Total | 1,229 (100%) | 36 (100%) | 125 (100%) | 180 (100%) | 266 (100%) | 56 (100%) | 52 (100%) | 158 (100%) | 139 (100%) | 209 (100%) | 8 (100%) |
1n (%) | |||||||||||
Notification counts map
Notification Incidence map
Incidence Table
District | Incidence | Case Counts | Population |
|---|---|---|---|
uThukela | 6.5 | 45 | 695,058.11 |
Umzinyathi | 3.5 | 20 | 579,301.18 |
Central Karoo | 2.6 | 2 | 76,540.93 |
City of Tshwane Metro | 1.0 | 42 | 4,083,402.58 |
eThekwini Metro | 1.0 | 42 | 4,122,884.55 |
City of Johannesburg Metro | 0.6 | 35 | 6,358,197.68 |
Ekurhuleni Metro | 0.7 | 30 | 4,296,567.65 |
Overall1 | 20241 | 20251 | |
|---|---|---|---|
Age | |||
Median (Q1, Q3) | 20 (0, 32) | 19 (0, 32) | 26 (23, 30) |
Missing | 3 | 3 | 0 |
Sex | |||
Male | 235 (66%) | 232 (66%) | 3 (60%) |
Female | 121 (34%) | 119 (34%) | 2 (40%) |
Province | |||
KZN | 136 (38%) | 133 (38%) | 3 (60%) |
GP | 114 (32%) | 113 (32%) | 1 (20%) |
MP | 35 (9.8%) | 35 (10.0%) | 0 (0%) |
EC | 22 (6.2%) | 22 (6.3%) | 0 (0%) |
WC | 21 (5.9%) | 21 (6.0%) | 0 (0%) |
LP | 11 (3.1%) | 11 (3.1%) | 0 (0%) |
NW | 10 (2.8%) | 9 (2.6%) | 1 (20%) |
FS | 6 (1.7%) | 6 (1.7%) | 0 (0%) |
NC | 1 (0.3%) | 1 (0.3%) | 0 (0%) |
Admission Status | |||
Outpatient | 191 (55%) | 187 (55%) | 4 (80%) |
Inpatient | 129 (37%) | 128 (37%) | 1 (20%) |
Discharged | 21 (6.0%) | 21 (6.1%) | 0 (0%) |
Transferred | 7 (2.0%) | 7 (2.0%) | 0 (0%) |
Missing | 8 | 8 | 0 |
Vital Status | |||
Alive | 342 (96%) | 337 (96%) | 5 (100%) |
Deceased | 8 (2.2%) | 8 (2.3%) | 0 (0%) |
Unknown | 6 (1.7%) | 6 (1.7%) | 0 (0%) |
Facility Sector | |||
Public | 290 (81%) | 285 (81%) | 5 (100%) |
Private | 66 (19%) | 66 (19%) | 0 (0%) |
Facility Type | |||
Other facilities | 356 (100%) | 351 (100%) | 5 (100%) |
Total | 356 (100%) | 351 (100%) | 5 (100%) |
1n (%) | |||
Notification counts map
Notification Incidence map
Incidence Table
District | Incidence | Case Counts | Population |
|---|---|---|---|
Pixley Ka Seme | 46.3 | 98 | 211,614.18 |
Central Karoo | 41.8 | 32 | 76,540.93 |
Garden Route | 24.3 | 156 | 641,378.66 |
Namakwa | 18.9 | 22 | 116,648.61 |
Lejweleputswa | 16.8 | 112 | 667,134.20 |
City of Cape Town Metro | 5.7 | 281 | 4,919,018.92 |
City of Tshwane Metro | 5.2 | 214 | 4,083,402.58 |
City of Johannesburg Metro | 2.8 | 177 | 6,358,197.68 |
Nkangala | 9.4 | 158 | 1,686,398.14 |
Overall1 | 20161 | 20171 | 20181 | 20191 | 20201 | 20211 | 20221 | 20231 | 20241 | 20251 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
Age | |||||||||||
Median (Q1, Q3) | 8 (5, 19) | 24 (11, 38) | 26 (12, 35) | 23 (11, 34) | 24 (9, 37) | 34 (24, 45) | 34 (27, 41) | 35 (27, 45) | 6 (4, 9) | 6 (4, 9) | 13 (4, 34) |
Missing | 199 | 9 | 37 | 23 | 24 | 6 | 14 | 19 | 29 | 35 | 3 |
Sex | |||||||||||
Female | 2,757 (57%) | 60 (67%) | 179 (69%) | 125 (69%) | 158 (66%) | 80 (73%) | 107 (78%) | 190 (75%) | 576 (52%) | 1,251 (52%) | 31 (62%) |
Male | 2,095 (43%) | 29 (33%) | 82 (31%) | 56 (31%) | 81 (34%) | 29 (27%) | 31 (22%) | 63 (25%) | 541 (48%) | 1,164 (48%) | 19 (38%) |
Province | |||||||||||
WC | 1,507 (31%) | 8 (9.1%) | 41 (16%) | 21 (12%) | 42 (18%) | 2 (1.8%) | 4 (2.9%) | 19 (7.5%) | 801 (72%) | 563 (23%) | 6 (12%) |
KZN | 808 (17%) | 15 (17%) | 72 (28%) | 60 (33%) | 60 (25%) | 34 (31%) | 53 (38%) | 125 (49%) | 42 (3.8%) | 336 (14%) | 11 (22%) |
GP | 722 (15%) | 23 (26%) | 47 (18%) | 43 (24%) | 57 (24%) | 14 (13%) | 23 (17%) | 19 (7.5%) | 42 (3.8%) | 444 (18%) | 10 (20%) |
FS | 500 (10%) | 2 (2.3%) | 16 (6.2%) | 10 (5.6%) | 23 (9.6%) | 22 (20%) | 22 (16%) | 45 (18%) | 44 (3.9%) | 312 (13%) | 4 (8.0%) |
NC | 348 (7.2%) | 12 (14%) | 19 (7.3%) | 3 (1.7%) | 2 (0.8%) | 1 (0.9%) | 1 (0.7%) | 3 (1.2%) | 123 (11%) | 182 (7.5%) | 2 (4.0%) |
MP | 336 (6.9%) | 5 (5.7%) | 28 (11%) | 9 (5.0%) | 11 (4.6%) | 6 (5.5%) | 11 (8.0%) | 7 (2.8%) | 7 (0.6%) | 246 (10%) | 6 (12%) |
NW | 277 (5.7%) | 3 (3.4%) | 8 (3.1%) | 5 (2.8%) | 11 (4.6%) | 11 (10%) | 12 (8.7%) | 13 (5.1%) | 18 (1.6%) | 190 (7.9%) | 6 (12%) |
EC | 225 (4.6%) | 12 (14%) | 12 (4.6%) | 14 (7.8%) | 20 (8.4%) | 10 (9.2%) | 6 (4.3%) | 15 (5.9%) | 27 (2.4%) | 107 (4.4%) | 2 (4.0%) |
LP | 125 (2.6%) | 8 (9.1%) | 16 (6.2%) | 15 (8.3%) | 13 (5.4%) | 9 (8.3%) | 6 (4.3%) | 7 (2.8%) | 13 (1.2%) | 35 (1.4%) | 3 (6.0%) |
Missing | 4 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Admission Status | |||||||||||
Outpatient | 1,806 (84%) | 0 (NA%) | 0 (NA%) | 1 (10%) | 14 (61%) | 1 (33%) | 1 (100%) | 3 (60%) | 583 (90%) | 1,184 (82%) | 19 (76%) |
Inpatient | 176 (8.2%) | 0 (NA%) | 0 (NA%) | 6 (60%) | 5 (22%) | 2 (67%) | 0 (0%) | 1 (20%) | 30 (4.7%) | 129 (8.9%) | 3 (12%) |
Discharged | 168 (7.8%) | 0 (NA%) | 0 (NA%) | 3 (30%) | 4 (17%) | 0 (0%) | 0 (0%) | 1 (20%) | 30 (4.7%) | 127 (8.8%) | 3 (12%) |
Transferred | 4 (0.2%) | 0 (NA%) | 0 (NA%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 2 (0.3%) | 2 (0.1%) | 0 (0%) |
Missing | 2,698 | 89 | 261 | 171 | 216 | 106 | 137 | 248 | 472 | 973 | 25 |
Vital Status | |||||||||||
Unknown | 2,699 (56%) | 89 (100%) | 261 (100%) | 171 (94%) | 216 (90%) | 107 (98%) | 137 (99%) | 248 (98%) | 469 (42%) | 976 (40%) | 25 (50%) |
Alive | 2,151 (44%) | 0 (0%) | 0 (0%) | 10 (5.5%) | 23 (9.6%) | 2 (1.8%) | 1 (0.7%) | 5 (2.0%) | 648 (58%) | 1,437 (60%) | 25 (50%) |
Deceased | 2 (<0.1%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 2 (<0.1%) | 0 (0%) |
Facility Sector | |||||||||||
Public | 4,370 (90%) | 88 (100%) | 243 (94%) | 170 (94%) | 227 (95%) | 107 (98%) | 138 (100%) | 253 (100%) | 1,090 (98%) | 2,016 (83%) | 38 (76%) |
Private | 479 (9.9%) | 0 (0%) | 16 (6.2%) | 11 (6.1%) | 12 (5.0%) | 2 (1.8%) | 0 (0%) | 0 (0%) | 27 (2.4%) | 399 (17%) | 12 (24%) |
Missing | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Facility Type | |||||||||||
Other facilities | 4,852 (100%) | 89 (100%) | 261 (100%) | 181 (100%) | 239 (100%) | 109 (100%) | 138 (100%) | 253 (100%) | 1,117 (100%) | 2,415 (100%) | 50 (100%) |
Total | 4,852 (100%) | 89 (100%) | 261 (100%) | 181 (100%) | 239 (100%) | 109 (100%) | 138 (100%) | 253 (100%) | 1,117 (100%) | 2,415 (100%) | 50 (100%) |
1n (%) | |||||||||||
Notification counts map
Notification Incidence map
Incidence Table
District | Incidence | Case Counts | Population |
|---|---|---|---|
Namakwa | 340.3 | 397 | 116,648.6 |
Pixley Ka Seme | 148.4 | 314 | 211,614.2 |
Garden Route | 142.2 | 912 | 641,378.7 |
Frances Baard | 140.0 | 595 | 425,010.9 |
ZF Mgcawu | 135.7 | 400 | 294,697.7 |
City of Tshwane Metro | 41.9 | 1,710 | 4,083,402.6 |
City of Johannesburg Metro | 21.3 | 1,355 | 6,358,197.7 |
City of Cape Town Metro | 15.9 | 780 | 4,919,018.9 |
Overall1 | 20161 | 20171 | 20181 | 20191 | 20201 | 20211 | 20221 | 20231 | 20241 | 20251 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
Age | |||||||||||
Median (Q1, Q3) | 6 (0, 9) | 21 (11, 37) | 13 (9, 29) | 9 (7, 12) | 9 (7, 13) | 9 (6, 28) | 27 (4, 38) | 4 (0, 10) | 5 (2, 8) | 5 (0, 8) | 5 (0, 13) |
Missing | 676 | 9 | 83 | 37 | 37 | 17 | 18 | 76 | 217 | 169 | 13 |
Sex | |||||||||||
Female | 11,981 (51%) | 66 (65%) | 409 (55%) | 565 (51%) | 906 (49%) | 181 (54%) | 135 (64%) | 776 (51%) | 2,009 (47%) | 6,840 (51%) | 94 (49%) |
Male | 11,602 (49%) | 35 (35%) | 331 (45%) | 542 (49%) | 939 (51%) | 154 (46%) | 76 (36%) | 757 (49%) | 2,219 (52%) | 6,451 (48%) | 98 (51%) |
Self-Defined | 13 (<0.1%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 2 (<0.1%) | 11 (<0.1%) | 0 (0%) |
Province | |||||||||||
GP | 5,943 (25%) | 27 (27%) | 230 (31%) | 277 (25%) | 405 (22%) | 69 (21%) | 49 (23%) | 237 (15%) | 689 (16%) | 3,881 (29%) | 79 (41%) |
WC | 4,398 (19%) | 14 (14%) | 69 (9.4%) | 83 (7.5%) | 147 (8.0%) | 34 (10%) | 14 (6.6%) | 125 (8.2%) | 1,798 (43%) | 2,093 (16%) | 21 (11%) |
KZN | 4,281 (18%) | 16 (16%) | 260 (35%) | 542 (49%) | 436 (24%) | 115 (34%) | 78 (37%) | 295 (19%) | 353 (8.3%) | 2,163 (16%) | 23 (12%) |
NC | 2,112 (9.0%) | 12 (12%) | 19 (2.6%) | 8 (0.7%) | 19 (1.0%) | 8 (2.4%) | 5 (2.4%) | 18 (1.2%) | 273 (6.5%) | 1,728 (13%) | 22 (11%) |
NW | 1,854 (7.9%) | 4 (4.0%) | 40 (5.4%) | 27 (2.4%) | 433 (23%) | 26 (7.8%) | 12 (5.7%) | 116 (7.6%) | 189 (4.5%) | 995 (7.5%) | 12 (6.3%) |
LP | 1,500 (6.4%) | 8 (8.0%) | 19 (2.6%) | 43 (3.9%) | 38 (2.1%) | 13 (3.9%) | 8 (3.8%) | 457 (30%) | 614 (15%) | 292 (2.2%) | 8 (4.2%) |
MP | 1,445 (6.1%) | 5 (5.0%) | 46 (6.2%) | 59 (5.3%) | 72 (3.9%) | 17 (5.1%) | 12 (5.7%) | 157 (10%) | 125 (3.0%) | 939 (7.1%) | 13 (6.8%) |
FS | 1,094 (4.6%) | 2 (2.0%) | 31 (4.2%) | 35 (3.2%) | 78 (4.2%) | 29 (8.7%) | 24 (11%) | 79 (5.2%) | 105 (2.5%) | 700 (5.3%) | 11 (5.7%) |
EC | 959 (4.1%) | 12 (12%) | 23 (3.1%) | 32 (2.9%) | 215 (12%) | 24 (7.2%) | 9 (4.3%) | 48 (3.1%) | 84 (2.0%) | 509 (3.8%) | 3 (1.6%) |
Missing | 10 | 1 | 3 | 1 | 2 | 0 | 0 | 1 | 0 | 2 | 0 |
Admission Status | |||||||||||
Outpatient | 15,258 (85%) | 0 (NA%) | 224 (75%) | 573 (67%) | 1,135 (75%) | 133 (67%) | 46 (72%) | 697 (77%) | 2,207 (80%) | 10,138 (91%) | 105 (74%) |
Inpatient | 1,705 (9.5%) | 0 (NA%) | 53 (18%) | 235 (27%) | 319 (21%) | 47 (24%) | 12 (19%) | 141 (16%) | 315 (11%) | 555 (5.0%) | 28 (20%) |
Discharged | 943 (5.2%) | 0 (NA%) | 23 (7.7%) | 48 (5.6%) | 63 (4.1%) | 18 (9.0%) | 6 (9.4%) | 58 (6.4%) | 239 (8.6%) | 479 (4.3%) | 9 (6.3%) |
Transferred | 56 (0.3%) | 0 (NA%) | 0 (0%) | 1 (0.1%) | 6 (0.4%) | 1 (0.5%) | 0 (0%) | 9 (1.0%) | 14 (0.5%) | 25 (0.2%) | 0 (0%) |
Missing | 5,634 | 101 | 440 | 250 | 322 | 136 | 147 | 628 | 1,455 | 2,105 | 50 |
Vital Status | |||||||||||
Alive | 18,206 (77%) | 0 (0%) | 300 (41%) | 856 (77%) | 1,565 (85%) | 199 (59%) | 67 (32%) | 962 (63%) | 2,883 (68%) | 11,231 (84%) | 143 (74%) |
Unknown | 5,375 (23%) | 101 (100%) | 440 (59%) | 250 (23%) | 274 (15%) | 136 (41%) | 144 (68%) | 571 (37%) | 1,343 (32%) | 2,068 (16%) | 48 (25%) |
Deceased | 15 (<0.1%) | 0 (0%) | 0 (0%) | 1 (<0.1%) | 6 (0.3%) | 0 (0%) | 0 (0%) | 0 (0%) | 4 (<0.1%) | 3 (<0.1%) | 1 (0.5%) |
Facility Sector | |||||||||||
Public | 21,582 (91%) | 99 (99%) | 586 (80%) | 986 (89%) | 1,710 (93%) | 311 (93%) | 202 (96%) | 1,429 (93%) | 3,796 (90%) | 12,301 (92%) | 162 (84%) |
Private | 2,008 (8.5%) | 1 (1.0%) | 151 (20%) | 121 (11%) | 133 (7.2%) | 24 (7.2%) | 9 (4.3%) | 104 (6.8%) | 434 (10%) | 1,001 (7.5%) | 30 (16%) |
Missing | 6 | 1 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
Facility Type | |||||||||||
Other facilities | 23,596 (100%) | 101 (100%) | 740 (100%) | 1,107 (100%) | 1,845 (100%) | 335 (100%) | 211 (100%) | 1,533 (100%) | 4,230 (100%) | 13,302 (100%) | 192 (100%) |
Total | 23,596 (100%) | 101 (100%) | 740 (100%) | 1,107 (100%) | 1,845 (100%) | 335 (100%) | 211 (100%) | 1,533 (100%) | 4,230 (100%) | 13,302 (100%) | 192 (100%) |
1n (%) | |||||||||||
Notification counts map
Notification Incidence map
Incidence Table
District | Incidence | Case Counts | Population |
|---|---|---|---|
West Rand | 17.7 | 176 | 995,607.9 |
Fezile Dabi | 9.3 | 48 | 518,048.7 |
Lejweleputswa | 6.6 | 44 | 667,134.2 |
Buffalo City Metro | 4.4 | 35 | 790,600.8 |
Capricorn | 4.1 | 54 | 1,321,467.2 |
City of Johannesburg Metro | 3.5 | 224 | 6,358,197.7 |
City of Tshwane Metro | 3.4 | 139 | 4,083,402.6 |
City of Cape Town Metro | 2.2 | 109 | 4,919,018.9 |
Overall1 | 20171 | 20181 | 20191 | 20201 | 20211 | 20221 | 20231 | 20241 | 20251 | |
|---|---|---|---|---|---|---|---|---|---|---|
Age | ||||||||||
Median (Q1, Q3) | 24 (10, 36) | 27 (8, 40) | 29 (14, 39) | 29 (18, 39) | 29 (21, 42) | 25 (13, 35) | 22 (10, 33) | 21 (8, 33) | 18 (2, 32) | 20 (2, 32) |
Missing | 69 | 4 | 7 | 0 | 6 | 5 | 36 | 5 | 6 | 0 |
Sex | ||||||||||
Male | 2,645 (54%) | 36 (63%) | 309 (57%) | 369 (56%) | 238 (54%) | 136 (53%) | 417 (54%) | 539 (53%) | 549 (53%) | 52 (58%) |
Female | 2,215 (46%) | 21 (37%) | 232 (43%) | 285 (44%) | 203 (46%) | 120 (47%) | 360 (46%) | 472 (47%) | 485 (47%) | 37 (42%) |
Self-Defined | 3 (<0.1%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (0.1%) | 1 (<0.1%) | 1 (<0.1%) | 0 (0%) |
Unknown | 1 (<0.1%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (<0.1%) | 0 (0%) | 0 (0%) |
Province | ||||||||||
GP | 2,925 (60%) | 3 (5.3%) | 333 (62%) | 369 (57%) | 317 (72%) | 185 (72%) | 528 (68%) | 622 (61%) | 530 (51%) | 38 (43%) |
FS | 635 (13%) | 28 (49%) | 61 (11%) | 58 (8.9%) | 49 (11%) | 12 (4.7%) | 103 (13%) | 184 (18%) | 123 (12%) | 17 (19%) |
WC | 401 (8.2%) | 0 (0%) | 37 (6.8%) | 48 (7.4%) | 20 (4.5%) | 24 (9.4%) | 64 (8.2%) | 63 (6.2%) | 130 (13%) | 15 (17%) |
EC | 275 (5.7%) | 1 (1.8%) | 42 (7.8%) | 76 (12%) | 19 (4.3%) | 5 (2.0%) | 29 (3.7%) | 41 (4.0%) | 61 (5.9%) | 1 (1.1%) |
LP | 228 (4.7%) | 16 (28%) | 27 (5.0%) | 27 (4.1%) | 15 (3.4%) | 7 (2.7%) | 16 (2.1%) | 40 (3.9%) | 75 (7.2%) | 5 (5.6%) |
NW | 162 (3.3%) | 0 (0%) | 14 (2.6%) | 49 (7.5%) | 7 (1.6%) | 16 (6.3%) | 17 (2.2%) | 24 (2.4%) | 33 (3.2%) | 2 (2.2%) |
MP | 124 (2.5%) | 3 (5.3%) | 23 (4.3%) | 18 (2.8%) | 6 (1.4%) | 2 (0.8%) | 4 (0.5%) | 21 (2.1%) | 45 (4.3%) | 2 (2.2%) |
KZN | 76 (1.6%) | 6 (11%) | 4 (0.7%) | 6 (0.9%) | 5 (1.1%) | 1 (0.4%) | 7 (0.9%) | 9 (0.9%) | 32 (3.1%) | 6 (6.7%) |
NC | 37 (0.8%) | 0 (0%) | 0 (0%) | 2 (0.3%) | 3 (0.7%) | 4 (1.6%) | 10 (1.3%) | 9 (0.9%) | 6 (0.6%) | 3 (3.4%) |
Missing | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
Admission Status | ||||||||||
Inpatient | 3,775 (80%) | 44 (80%) | 444 (82%) | 553 (85%) | 341 (78%) | 211 (87%) | 592 (81%) | 732 (75%) | 797 (78%) | 61 (73%) |
Discharged | 421 (8.9%) | 4 (7.3%) | 43 (7.9%) | 35 (5.4%) | 32 (7.3%) | 13 (5.4%) | 41 (5.6%) | 141 (14%) | 103 (10%) | 9 (11%) |
Outpatient | 319 (6.7%) | 6 (11%) | 46 (8.5%) | 45 (6.9%) | 24 (5.5%) | 12 (5.0%) | 50 (6.8%) | 57 (5.8%) | 68 (6.7%) | 11 (13%) |
Transferred | 231 (4.9%) | 1 (1.8%) | 8 (1.5%) | 19 (2.9%) | 40 (9.2%) | 6 (2.5%) | 51 (6.9%) | 52 (5.3%) | 51 (5.0%) | 3 (3.6%) |
Missing | 118 | 2 | 0 | 2 | 4 | 14 | 44 | 31 | 16 | 5 |
Vital Status | ||||||||||
Alive | 4,396 (90%) | 55 (96%) | 496 (92%) | 614 (94%) | 418 (95%) | 236 (92%) | 656 (84%) | 917 (91%) | 935 (90%) | 69 (78%) |
Deceased | 418 (8.6%) | 2 (3.5%) | 45 (8.3%) | 40 (6.1%) | 20 (4.5%) | 19 (7.4%) | 95 (12%) | 86 (8.5%) | 92 (8.9%) | 19 (21%) |
Unknown | 50 (1.0%) | 0 (0%) | 0 (0%) | 0 (0%) | 3 (0.7%) | 1 (0.4%) | 27 (3.5%) | 10 (1.0%) | 8 (0.8%) | 1 (1.1%) |
Facility Sector | ||||||||||
Public | 4,517 (93%) | 53 (93%) | 517 (96%) | 596 (91%) | 426 (97%) | 240 (94%) | 699 (90%) | 944 (93%) | 958 (93%) | 84 (94%) |
Private | 346 (7.1%) | 4 (7.0%) | 24 (4.4%) | 57 (8.7%) | 15 (3.4%) | 16 (6.3%) | 79 (10%) | 69 (6.8%) | 77 (7.4%) | 5 (5.6%) |
Missing | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
Facility Type | ||||||||||
Other facilities | 4,864 (100%) | 57 (100%) | 541 (100%) | 654 (100%) | 441 (100%) | 256 (100%) | 778 (100%) | 1,013 (100%) | 1,035 (100%) | 89 (100%) |
Total | 4,864 (100%) | 57 (100%) | 541 (100%) | 654 (100%) | 441 (100%) | 256 (100%) | 778 (100%) | 1,013 (100%) | 1,035 (100%) | 89 (100%) |
1n (%) | ||||||||||